Giuseppe Facchetti
Impact in
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- Complex Network Analysis Techniques
- Opinion Dynamics and Social Influence
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- Gene Regulatory Network Analysis
- Fungal and yeast genetics research
Papers in
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- Gene Regulatory Network Analysis 6
- Microbial Metabolic Engineering and Bioproduction 5
- Fungal and yeast genetics research 2
- RNA and protein synthesis mechanisms 2
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- Cellular Mechanics and Interactions 2
- Co-authors
- Claudio Altafini (7 shared papers)Giovanni Iacono (2 shared papers)Martin Howard (3 shared papers)Fred Chang (3 shared papers)Benjamin D. Knapp (2 shared papers)Ignacio Flor‐Parra (1 shared paper)Mattia Zampieri (1 shared paper)David Degen (1 shared paper)
- Journals
- PLoS Computational Biology (2 papers)Scientific Reports (2 papers)Proceedings of the National Academy of Sciences (2 papers)Current Biology (1 paper)Current Opinion in Systems Biology (1 paper)
- Partner nations
- ItalyUnited KingdomUnited States
In The Last Decade
Giuseppe Facchetti
14 papers receiving 629 citations
Peers
Comparison fields: 5 of 95
- Statistical and Nonlinear Physics 219
- Molecular Biology 266
- Molecular Medicine 19
- Modeling and Simulation 16
- Computer Networks and Communications 84
Countries citing papers authored by Giuseppe Facchetti
This map shows the geographic impact of Giuseppe Facchetti's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Giuseppe Facchetti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Giuseppe Facchetti more than expected).
Fields of papers citing papers by Giuseppe Facchetti
This network shows the impact of papers produced by Giuseppe Facchetti. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Giuseppe Facchetti. The network helps show where Giuseppe Facchetti may publish in the future.
Co-authors
The 25 scholars most cited alongside Giuseppe Facchetti, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 313 | |
| 2 | 2017 | 118 | |
| 3 | 2017 | 59 | |
| 4 | 2019 | 52 | |
| 5 | 2013 | 29 | |
| 6 | 2015 | 25 | |
| 7 | 2012 | 23 | |
| 8 | 2019 | 14 | |
| 9 | 2009 | 7 | |
| 10 | 2013 | 6 | |
| 11 | 2013 | 5 | |
| 12 | 2013 | 4 | |
| 13 | 2016 | 2 | |
| 14 | 2015 | 1 |
About Giuseppe Facchetti
Giuseppe Facchetti is a scholar working on Molecular Biology, Cell Biology, Cellular and Molecular Neuroscience, Physical and Theoretical Chemistry and Developmental Neuroscience, having authored 14 papers that have together received 658 indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (6 papers), Microbial Metabolic Engineering and Bioproduction (5 papers), thermodynamics and calorimetric analyses (2 papers), Fungal and yeast genetics research (2 papers), Cellular Mechanics and Interactions (2 papers), RNA and protein synthesis mechanisms (2 papers), Cell Image Analysis Techniques (1 paper) and Olfactory and Sensory Function Studies (1 paper). The work is most often cited by research in Statistical and Nonlinear Physics (219 citations), Molecular Biology (266 citations), Molecular Medicine (19 citations), Modeling and Simulation (16 citations) and Computer Networks and Communications (84 citations). Giuseppe Facchetti has collaborated with scholars based in Italy, United Kingdom and United States. Frequent co-authors include Claudio Altafini, Giovanni Iacono, Martin Howard, Fred Chang, Benjamin D. Knapp, Ignacio Flor‐Parra, Mattia Zampieri, David Degen, Paola Guglierame and Vincent Torre. Their work appears in journals such as PLoS Computational Biology, Scientific Reports, Proceedings of the National Academy of Sciences, Current Biology and Current Opinion in Systems Biology.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.